Jiang · Nutrition reviews 2024 · systematic review and meta-analysis · n=50 studies (23 observational, 27 interventional)

The effects of organic food on human health: a systematic review and meta-analysis of population-based studies.

Cited 21 times in the scientific literature.

Level 2 - randomized trial

Systematic review and meta-analysis combining interventional and observational human studies.

PubMed 37930102 · doi:10.1093/nutrit/nuad124 · record verified 2026-08-29

What was done

Authors conducted a systematic review and random-effects meta-analysis of human studies published up to November 13, 2022, across PubMed, EMBASE, Web of Science, the Cochrane Library, and ClinicalTrials.gov. They included 23 observational and 27 interventional studies assessing organic food consumption in relation to in vivo biomarkers, disease prevalence, and functional health outcomes. Standardized mean differences were calculated for outcomes reported in at least three studies, and overall evidence was categorized by consistency and direction.

What was found

The abstract reports qualitative directional findings without reporting exact numerical effect sizes or confidence intervals. Organic food intake was associated with a beneficial reduction in pesticide exposure biomarkers and higher phenolic biomarkers. No association was observed for plasma toxic metals or carotenoids. Findings were inconsistent for serum parameters and antioxidant status, and insufficient for fatty acids in human milk. For functional changes and diseases, organic intake was linked to overall beneficial associations, notably for body mass index, obesity, and sperm quality, but evidence for specific individual diseases was rated as insufficient.

Why it matters

This review synthesizes human data on organic diets, demonstrating clear reductions in pesticide exposure markers alongside preliminary metabolic and functional benefits, while confirming that evidence for preventing specific clinical diseases remains inadequate.

Limits

The abstract provides no quantitative point estimates, confidence intervals, or meta-analytic effect sizes. Findings for individual chronic diseases are limited by small study numbers. The synthesis combines heterogeneous observational and interventional designs, precluding firm causal conclusions for long-term health outcomes.

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